Mortality and risk factor analysis for Candida blood stream infection: A multicenter study

Autor: Yoshihiro Suido, Kasumi Matsuno, Hiroyuki Shimizu, Kazuo Ide, Yoshifumi Sugiyama, Yukihiro Yoshimura, Hideaki Nakajima, Hideaki Kato
Rok vydání: 2018
Předmět:
Zdroj: Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy. 25(5)
ISSN: 1437-7780
Popis: Candida blood stream infection (candidemia) is severe systemic infection mainly develops after intensive medical cares. The mortality of candidemia is affected by the underlying conditions, causative agents and the initial management. We retrospectively analyzed mortality-related risk factors in cases of candidemia between April 2011 and March 2016 in five regional hospitals in Japan. We conducted bivariate and multivariate analysis of factors including causative Candida species, patients' predisposing conditions, and treatment strategies, such as empirically selected antifungal drug and time to appropriate antifungal treatment, to elucidate their effects on 30-day mortality. The study enrolled 289 cases of candidemia in adults. Overall 30-day mortality was 27.7%. Forty-nine cases (17.0%) were community-acquired. Bivariate analysis found advanced age, high Sequential Organ Failure Assessment (SOFA) score, and prior antibiotics use as risk factors for high mortality; however community-acquired candidemia, C. parapsilosis candidemia, obtaining follow-up blood culture, and empiric treatment with fluconazole were associated with low mortality. Logistic regression revealed age ≥65 years (adjusted odds ratio, 2.13) and sequential organ failure assessment (SOFA) score ≥6 (6.30) as risk factors for 30-day mortality. In contrast, obtaining follow-up blood culture (0.38) and empiric treatment with fluconazole (0.32) were found to be protective factors. The cases with candidemia in associated with advanced age and poor general health conditions should be closely monitored. Obtaining follow-up blood culture contributed to an improved prognosis.
Databáze: OpenAIRE